Fintech

Fintech runs on data and documents. AI can handle the processing layer.

Every fintech company processes the same types of documents — identity records, transaction histories, regulatory filings, compliance evidence, but does it with manual review queues that slow onboarding, increase operational cost, and create compliance exposure when staff miss things.

We build AI systems that extract, classify, and route that document volume accurately, with audit trails your compliance team and regulators can actually use. SOC 2 and PCI-DSS considerations are built in from day one, not added later.

How we work

Tell us about your compliance workflow.

What we build.

Five specific AI workflows for fintech operations and compliance.

Transaction anomaly detection

AI models trained on your transaction history flag unusual patterns (velocity spikes, geography mismatches, merchant category anomalies) before they become chargebacks or regulatory incidents.

Compliance document extraction (KYC/AML)

Extract structured data from government IDs, utility bills, corporate formation documents, and beneficial ownership records. Output feeds directly into your compliance review queue.

Customer onboarding automation

An AI agent guides applicants through document upload, validates completeness, cross-checks against watchlists, and passes clean cases to your operations team for final approval.

Fraud signal analysis

Aggregate signals from device fingerprinting, IP reputation, behavioral biometrics, and transaction history into a single risk score with auditable reasoning, not a black-box number.

Regulatory filing support

Parse regulatory guidance documents, map rule changes to your internal controls inventory, and generate first-draft responses to regulatory inquiries with source citations.

Who we build for.

Fintech startups moving from manual compliance review to automated pipelines
Payment processors and card issuers with high transaction volume
Digital lending platforms with document-heavy underwriting workflows
Neo-banks building compliance infrastructure without legacy headcount
B2B fintech companies with complex KYB (Know Your Business) requirements

Who this isn't for.

Pre-licensed companies without live transaction data
AI fraud and compliance systems improve with real transaction history. If you do not yet have production data, the models cannot be properly calibrated.
Companies expecting AI to replace human compliance sign-off
Regulators expect human review at key decision points. We build AI that accelerates your compliance team, not one that removes them from the loop.
Projects requiring real-time trading signals or market prediction
We build operational and compliance AI, not alpha generation or market timing systems. Those are a different category of work.

Frequently asked questions.

How do you handle SOC 2 and PCI-DSS requirements?: We architect systems to support your SOC 2 and PCI-DSS posture: encryption at rest and in transit, access logging, key management via HSM-backed services, and network isolation for cardholder data environments. We provide architecture documentation your auditors can review. We are not a QSA and do not issue compliance certifications, but we design for auditability from the start.
Can you keep data within a specific geographic region?: Yes. We configure cloud infrastructure and LLM API calls to respect your data residency requirements. For EU-based companies, all processing stays within the EU. For US-regulated entities, we avoid routing through jurisdictions that would complicate regulatory examination. Data residency requirements are documented in your project specification before build begins.
How do you explain model decisions to regulators?: We build explainability layers into every compliance-adjacent model. For fraud scoring, this means producing a structured rationale alongside each score, which signals triggered the flag, weighted by contribution. For adverse action in lending, we produce the specific factors required by the Equal Credit Opportunity Act. Regulators get readable outputs, not model weights.
Can this integrate with our core banking platform?: We have integrated with FIS, Temenos, Mambu, and several custom-built core banking systems via REST APIs, event streams, and webhook pipelines. If your core banking platform exposes an API, integration is straightforward. If it uses batch file exports, we build a processing layer around those. We evaluate integration complexity on the discovery call.

Ready to automate your compliance processing?

Tell us which compliance or operational workflow is consuming the most review time. We will reply within one business day with a rough scope and price range.

Fintech runs on data and documents. AI can handle the processing layer.

What we build.

Five specific AI workflows for fintech operations and compliance.

Transaction anomaly detection

AI models trained on your transaction history flag unusual patterns (velocity spikes, geography mismatches, merchant category anomalies) before they become chargebacks or regulatory incidents.

Compliance document extraction (KYC/AML)

Extract structured data from government IDs, utility bills, corporate formation documents, and beneficial ownership records. Output feeds directly into your compliance review queue.

Customer onboarding automation

An AI agent guides applicants through document upload, validates completeness, cross-checks against watchlists, and passes clean cases to your operations team for final approval.

Fraud signal analysis

Aggregate signals from device fingerprinting, IP reputation, behavioral biometrics, and transaction history into a single risk score with auditable reasoning, not a black-box number.

Regulatory filing support

Parse regulatory guidance documents, map rule changes to your internal controls inventory, and generate first-draft responses to regulatory inquiries with source citations.

Who we build for.

Fintech startups moving from manual compliance review to automated pipelines

Payment processors and card issuers with high transaction volume

Digital lending platforms with document-heavy underwriting workflows

Neo-banks building compliance infrastructure without legacy headcount

B2B fintech companies with complex KYB (Know Your Business) requirements

Who this isn't for.

Pre-licensed companies without live transaction data

AI fraud and compliance systems improve with real transaction history. If you do not yet have production data, the models cannot be properly calibrated.

Companies expecting AI to replace human compliance sign-off

Regulators expect human review at key decision points. We build AI that accelerates your compliance team, not one that removes them from the loop.

Projects requiring real-time trading signals or market prediction

We build operational and compliance AI, not alpha generation or market timing systems. Those are a different category of work.

Frequently asked questions.

How do you handle SOC 2 and PCI-DSS requirements?

We architect systems to support your SOC 2 and PCI-DSS posture: encryption at rest and in transit, access logging, key management via HSM-backed services, and network isolation for cardholder data environments. We provide architecture documentation your auditors can review. We are not a QSA and do not issue compliance certifications, but we design for auditability from the start.

Can you keep data within a specific geographic region?

Yes. We configure cloud infrastructure and LLM API calls to respect your data residency requirements. For EU-based companies, all processing stays within the EU. For US-regulated entities, we avoid routing through jurisdictions that would complicate regulatory examination. Data residency requirements are documented in your project specification before build begins.

How do you explain model decisions to regulators?

We build explainability layers into every compliance-adjacent model. For fraud scoring, this means producing a structured rationale alongside each score, which signals triggered the flag, weighted by contribution. For adverse action in lending, we produce the specific factors required by the Equal Credit Opportunity Act. Regulators get readable outputs, not model weights.

Can this integrate with our core banking platform?

We have integrated with FIS, Temenos, Mambu, and several custom-built core banking systems via REST APIs, event streams, and webhook pipelines. If your core banking platform exposes an API, integration is straightforward. If it uses batch file exports, we build a processing layer around those. We evaluate integration complexity on the discovery call.

Ready to automate your compliance processing?

Tell us which compliance or operational workflow is consuming the most review time. We will reply within one business day with a rough scope and price range.